diff --git a/docs/pull_optimum_cli.md b/docs/pull_optimum_cli.md
index 181841bdaa..0c046d3932 100644
--- a/docs/pull_optimum_cli.md
+++ b/docs/pull_optimum_cli.md
@@ -32,7 +32,7 @@ Using `--pull` parameter, we can use OVMS to download the model, quantize and co
 **Required:** Docker Engine installed
 
 ```text
-docker run $(id -u):$(id -g) --rm -v <model_repository_path>:/models:rw openvino/model_server:latest-py --pull --source_model <model_name_in_HF> --model_repository_path /models --model_name <external_model_name> --target_device <DEVICE> --weight-format int8 --task <task> [TASK_SPECIFIC_PARAMETERS]
+docker run -u $(id -u):$(id -g) --rm -v <model_repository_path>:/models:rw openvino/model_server:latest-py --pull --source_model <model_name_in_HF> --model_repository_path /models --model_name <external_model_name> --target_device <DEVICE> --weight-format int8 --task <task> [TASK_SPECIFIC_PARAMETERS]
 ```
 :::
 
@@ -44,18 +44,19 @@ ovms --pull --source_model <model_name_in_HF> --model_repository_path <model_rep
 :::
 ::::
 
-Example for pulling `Qwen/Qwen3-8B`:
+Example for pulling `Qwen/Qwen3-4B`:
 
 ```bat
-ovms --pull --source_model "Qwen/Qwen3-8B" --model_repository_path /models --model_name Qwen3-8B --target_device CPU --task text_generation --weight-format int8 
+ovms --pull --source_model "Qwen/Qwen3-4B" --model_repository_path /models --model_name Qwen3-4B --target_device CPU --task text_generation --weight-format int8 
 ```
 ::::{tab-set}
 :::{tab-item} With Docker
 :sync: docker
 **Required:** Docker Engine installed
 
-```text
-docker run $(id -u):$(id -g) --rm -v <model_repository_path>:/models:rw openvino/model_server:latest-py --pull --source_model "Qwen/Qwen3-8B" --model_repository_path /models --model_name Qwen3-8B --task text_generation --weight-format int8
+```bash
+mkdir -p models
+docker run -u $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/model_server:latest-py --pull --source_model "Qwen/Qwen3-4B" --model_repository_path /models --model_name Qwen3-4B --task text_generation --weight-format int8
 ```
 :::
 
@@ -64,7 +65,7 @@ docker run $(id -u):$(id -g) --rm -v <model_repository_path>:/models:rw openvino
 **Required:** OpenVINO Model Server package - see [deployment instructions](./deploying_server_baremetal.md) for details.
 
 ```bat
-ovms --pull --source_model "Qwen/Qwen3-8B" --model_repository_path /models --model_name Qwen3-8B --task text_generation --weight-format int8
+ovms --pull --source_model "Qwen/Qwen3-4B" --model_repository_path /models --model_name Qwen3-4B --task text_generation --weight-format int8
 ```
 :::
 ::::
@@ -84,10 +85,10 @@ You can mount the HuggingFace cache to avoid downloading the original model in c
 Below is an example pull command with optimum model cache directory sharing for model download:
 
 ```bash
-docker run -v /etc/passwd:/etc/passwd -e HF_HOME=/hf_home/cache --user $(id -u):$(id -g) --group-add=$(id -g) -v ${HOME}/.cache/huggingface/:/hf_home/cache -v $(pwd)/models:/models:rw openvino/model_server:latest-py --pull --model_repository_path /models --source_model meta-llama/Meta-Llama-3-8B-Instruct --task text_generation --weight-format int8
+docker run -v /etc/passwd:/etc/passwd -e HF_HOME=/hf_home/cache --user $(id -u):$(id -g) --group-add=$(id -g) -v ${HOME}/.cache/huggingface/:/hf_home/cache -v $(pwd)/models:/models:rw openvino/model_server:latest-py --pull --model_repository_path /models --source_model meta-llama/Llama-3.2-1B-Instruct --task text_generation --weight-format int8
 ```
 
 or deploy without caching the model files with passed HF_TOKEN for authorization:
 ```bash
-docker run -p 8000:8000 -e HF_TOKEN=$HF_TOKEN openvino/model_server:latest-py --model_repository_path /tmp --source_model meta-llama/Meta-Llama-3-8B-Instruct --task text_generation --weight-format int8 --target_device CPU --rest_port 8000
+docker run -p 8000:8000 -e HF_TOKEN=$HF_TOKEN openvino/model_server:latest-py --model_repository_path /tmp --source_model meta-llama/Llama-3.2-1B-Instruct --task text_generation --weight-format int8 --target_device CPU --rest_port 8000
 ```
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